Predicting Dust-Storm Transport Pathways Using a Convolutional Neural Network and Geographic Context...
Predicting Dust-Storm Transport Pathways Using a Convolutional Neural Network and Geographic Context for Impact Adaptation and Mitigation in Urban Areas
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Basel: MDPI AG
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Language
English
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Basel: MDPI AG
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Dust storms are natural disasters that have a serious impact on various aspects of human life and physical infrastructure, particularly in urban areas causing health risks, reducing visibility, impairing the transportation sector, and interfering with communication systems. The ability to predict the movement patterns of dust storms is crucial for...
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Predicting Dust-Storm Transport Pathways Using a Convolutional Neural Network and Geographic Context for Impact Adaptation and Mitigation in Urban Areas
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TN_cdi_doaj_primary_oai_doaj_org_article_5d134c8a00d941c0b59be1490114ddcf
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_5d134c8a00d941c0b59be1490114ddcf
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ISSN
2072-4292
E-ISSN
2072-4292
DOI
10.3390/rs15092468
